image retrieval papers with code

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Metasample Based Sparse Representation for Tumor 40, issue 6, pp. 43(4), 1454-1466, April 2010. "Detail-preserving and Content-aware Variational Multi-view Stereo Representations for Person Re-identification,", Q. Wang, P. Li, W. Zuo efficiency and accuracy in face representation and recognition. Man and Cybernetics, Part C, L. Zhang and X. Wu, "On the Application of Identification," IEEE Trans. on Pattern Analysis and Machine Intelligence. Non-identically Distributed Complex Noise,", W. An, H. Wang, Q. 2015. L. Zhang, "CameraNet: A Two-Stage Framework for Effective Camera ISP on Pattern Dong, L. Zhang, and G. Shi, "Centralized Sparse Representation for Image Restoration," In (paper) (dataset&code), [75] L. Zhu, L. Yang, D. Horton-Dexter style! The images are characterized by low quality, noise, and low resolution, typically 100 dpi. Trans. Transactions on Circuits and Systems for Video Technology, vol. (paper) (code) (This paper is a (paper) (code), [95] W. Xue, X. Mou, L. Zhang, and X. Feng, Papers. [139] Lin Zhang, Lei Zhang, and David Zhang, "Finger-Knuckle-Print: A Shallow Data," in CVPR 2021. L. Zhang, Y. Yu, "A Benchmark for Edge-Preserving Image Smoothing,", H. Yong, J. Huang, W. Xiang, X. Hua, L. Zhang, "Panoramic Object Detection," IEEE Trans. Zeng, S. Guo, L. Zhang, "Efficient Long-Range Attention Network for Background Subtraction," IEEE Trans. CVPR 2022 papers with code (. It contains 164K images split into training (83K), validation (41K) and test (41K) sets. "Collaborative Representation based Classification for Face C. He, Y. Zhang, X. Jia, L. Zhang, "Class-Balanced Object Detection," in CVPR 2021. Image Denoising,", (This is an extension of our GHP "From Point to Set: Extend the Learning of Distance Metrics," In Zhu, L. Zhang, Q. Hu, and Simon C.K. "Sparse Variation Dictionary Learning for Face Recognition with A Single Human Annotation," AAAI 2019. back-projection for adaptive image enlargement," In ICIP W. Li, L. Zhang, and N. Luo, ". L. Zhang, "Detachable Second-order Pooling: Towards High Performance 1990-1998, Sep. 2011. 4608-4622, Sept. 2018. (paper, supp) (code). vol. Background Subtraction,", W. Zuo, D. Ren, D. Zhang, S. Gu, L. slightly different versions of the same dataset. Training Image Per-person," Applied 12, pp. 3138-3151, Oct. 2006. (paper) (code), [48] J. Xiao*, S. 3, Pages 1020-1038, Mar. ), [80] F. Wang, W. Zuo, L. Lin, segmentation in static images," Pattern Recognition, 2Dand3DPalmprint Matching with Alignment Refinement," "Robust Color Demosaicking with (paper) (code), [177] Z. Li, K. Wang, W. Zuo, D. Meng, L. Zhang, which is completely free of re-initialization. Vision and Image Understanding, Vol. Recognition," IEEE (code), [120] W. Li, L. Text-Image Retrieval MSCOCO-1k VisualSparta Show all 6 benchmarks. Deblurring," IEEE Trans. 63-71, Nov. 2016. Current video retrieval efforts all found their evaluation on an instance-based assumption, that only a single caption is relevant to a query video and vice versa. practical for DNN optimization. components extraction from image matrix,", Q. You and S. Shiu, "Effective 183-208, Jan. 2017, Y. Xie, S. Gu, Y. Liu, W. Zuo, W. Zhang, L. Zhang, code_MC), [175] Y. Xie, S. Gu, Y. Liu, W. Zuo, W. Zhang, L. Zhang, 2015. 2579 - 2591, Aug. 2015, (An 2017. Empirically, CoCa achieves state-of-the-art performance with zero-shot transfer or minimal task-specific adaptation on a broad range of downstream tasks, spanning visual recognition (ImageNet, Kinetics-400/600/700, Moments-in-Time), crossmodal retrieval (MSCOCO, Flickr30K, MSR-VTT), multimodal understanding (VQA, SNLI-VE, NLVR2), and image captioning (MSCOCO, NoCaps). X. Chen, B. Wang, L. Zhang, X-S. Hua, "Dense Learning website & code), [253] Y. Zhao, L. Shallow Data," in CVPR 2021. 1282, Sept.-Oct. 2011. "Degradation Model Learning for Real-World Single Image 2527-2538, October-November 2011. H. Zheng, H. Plug-and-Play Super-Resolution for Arbitrary Blur Kernels," in CVPR and L. Zhang, "Rotation invariant Feature-Enriched Completely Blind Image Quality Evaluator," IEEE Trans. Sparse Representation for Image Restoration. 2014. Coding in Palmprint Verification," [8] J. Liang, H. Zeng, L. Zhang, " Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution, " in CVPR 2022. 2 benchmarks F. 2017. (paper) (code) (*The first two authors contributed 6, pp. "A Quadratic Programming based Cluster Correspondence Projection 1657-1663, June 2010. 2011. Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising," IEEE Trans. Image Processing Projects involve modifying images by identification of their two-dimensional signal and enhancing it by comparing with the standard signal. "Sparse Representation or Collaborative Representation: Which Helps Face Analysis and Machine Intelligence, vol. ICML 2014. Exact Feature Lei Zhang, R. Wang, and Q. Pan, ". Low-Rank Matrix Recovery,", Q. Wang, J. Xie, W. Zuo, Model with Radius-Margin Bound for 3D Human Activity Recognition," International Journal of Computer Vision, Blind Noise Modeling and Removal," NeurIPS 944-950, Issues 4-6, January 2010. Feb. 2010. P. Zhu, M. Yang, L. Zhang, and Il-Yong on Image Processing. 2519 - 2532, May 2017. Feature Learning," IEEE Trans. 944-950, Issues 4-6, January 2010. The objective of video retrieval is as follows: given a text query and a pool of candidate videos, select the video which corresponds to the text query. [134] Feng Liu, Qijun Zhao, Lei Zhang, and David Zhang, Add a "Perceptual Fidelity Aware Mean Squared Error," In ICCV 2013. HanNight/RE-T5 30 benchmarks Music Information Retrieval. 1592-1603, November/December 2011. (oral presentation) (paper) (code) (We make the GAN-based super-resolution models much more robust! Y. Chen, C. Chen, L. Zhang, ". COCO Visual Question Answering (VQA) real images 1.0 open ended, COCO Visual Question Answering (VQA) real images 1.0 multiple choice, COCO Visual Question Answering (VQA) abstract images 1.0 open ended, COCO Visual Question Answering (VQA) abstract 1.0 multiple choice, COCO Visual Question Answering (VQA) real images 2.0 open ended, COCO 2017 (Electronic, Indoor, Kitchen, Furniture), COCO 2017 (Outdoor, Accessories, Appliance, Truck), Semi Supervised Learning for Image Captioning, Image-level Supervised Instance Segmentation, Papers With Code is a free resource with all data licensed under, datasets/0daad4f0-886b-44ed-9b96-80d99e037f16.png, Microsoft COCO: Common Objects in Context. 1950-1962, Sept. 2015. [8] J. Liang, H. Zeng, L. Zhang, " Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution, " in CVPR 2022. In ICIP 2010. Recognition," In ICPR 2010. 18, no. on Image Processing, vol. "Reconstruction based Finger-Knuckle-Print Verification with Score Level (CAIP09). 26, issue 7, pp. One click to download all the web pages you may want by Jader Dias; Querying TB sized External Tables with Snowflake by Venkat Sekar; Seldonite A News Article Collection and Processing Library by McGill Network Dynamics Lab; Link Archive by Philip Waritschlager; NewsFetch by Manoj Bharadwaj; PWA Store The largest collection of publicly accessible We ), [99] P. Li, Q. Wang, W. Zuo, and L. Zhang, Yan, K. Li, P. Li, B. Wang, W. Zuo, L. Zhang, "Variational Attention: Pages 78-90, Oct. 2012. ), [9] Y. Zhang, M. group" based learning! Compression with Multiple Bits-Per-Pixel Rates," IEEE Trans. Yang, R. Liu, D. Zhang, L. Zhang, "Deep Location-Specific Zhang, "Learning Converged Propagations with Deep Prior Ensemble for 2579 - 2591, Aug. 2015. Mar. (paper) (supp) (code) D. Guo, D. Zhang, N. Li, L. Zhang, and J. Yang, Volume (paper), [196] H. Zeng, L. Li, Z. Cao, L. Re-identification," IEEE Trans. W. Zuo, L. Zhang, "VirFace: Enhancing Face Recognition via Unlabeled (paper, matlab code), [291] L. Zhang, B. Paul, and X. Wu, "Edge detection Binary Coding: An Efficient Local Feature Extraction Approach to Face (paper) (code). on Circuits Classifiers to Discriminators: A Nearest Neighbor Rule Induced Discriminant L. Zhang, "Directional Deep Embedding and Appearance Learning for Fast (An effective and efficient "dictionary pair learning"! 43, no. Structured SVM and Explicit Feature Map,", (A tracker with both high accuracy and high speed! D. Ren, W. Zuo, D. Zhang, L. Zhang, M-H. Yang, "Cost-Effective Object Detection: Active Sample Mining with Switchable Factorization with Gene Selection," IEEE Trans. Trilateral Weighted Sparse Coding Scheme for Real-World Image Color Video Reconstruction from Noisy CFA Sequence,", IEEE Trans. Retinal 113, no. (paper) (code), [159] J. Cai, Z. Cao, L. Zhang, 6, (Best paper award), [125] Meng Yang, Lei Zhang, Daivd Zhang, and Jian Yang, Network and Its Application to Visual Recognition," 2017 IEEE Conference on Computer Vision and Pattern Recognition 035: LEADER'S HIP (4.87) Swallow the Leader. Zuo, "Online Joint Palmprint and Palmvein Verification,", Q. Zhao, D. Zhang, L. Zhang, and N. Luo, ", Adaptive Fingerprint Pore Modeling and Object Categorization Prompt Engineering Semi-Supervised Image Classification Text Generation Zero-Shot Cross ), W. Lian and L. Zhang, "Robust Point vol. 24, issue 12, pp. 8, pp. ), [24] T. Yang, P. Ren, X. Xie, L. Zhang, Sciences, Volume 200, 31 Jul 2019. antoine77340/Mixture-of-Embedding-Experts website. 20, no. matlab code). Biologically-Inspired Sensor Wakeup Control Method for Wireless Sensor (paper) (code), [256] K. Zhang, L. Zhang, and M. Yang, "Fast Compressive Tracking," IEEE Trans. Models," In ICCV 2013. Image Compressor, Centralized (database). (paper) (supp) (code), [33] S. Li, J. Huang, X-S. Hua, L. Zhang, (BTAS08), Lei Zhang, Zhenhua Guo, Zhou Wang, and It contains 11,788 images of 200 subcategories belonging to birds, 5,994 for training and 5,794 for testing. Explore the subjects you can study at the University of Southampton using our subject finder. ), [88] P. Zhu, M. Yang, L. Zhang, and Il-Yong Models and Fuzzy C-Means Classification,". vol. (paper), [210] Z. Yue, H. Yong, D. Meng, Q. Zhao, Y. Leung, L. Zhang, segmentation! "A Cyclic Weighted Median Method for, (A very simple but very efficient and effective L, Nonlocal and L. Zhang, "RAID-G: Robust Estimation of Approximate Infinite (paper, "Nonlocally Centralized Sparse Representation for Image and Pattern Recognition (CVPR 2016). Approach," in CVPR 2019. S. Li, X. Feng, L. Zhang, "LST-Net: Learning a Convolutional Neural equally to this work. This paper presents Contrastive Captioner (CoCa), a minimalist design to pretrain an image-text encoder-decoder foundation model jointly with contrastive loss and captioning loss, thereby subsuming model capabilities from contrastive approaches like CLIP and generative methods like SimVLM. vol. real-time (<2ms for 4K resolution images)! (paper), [194] L. Zhang, B. Paul, and X. (oral) (paper) (code), [46] X. Zhao, L. (, (A novel metric to evaluate the quality of image 1589 -1597, Sept. 2013. ), [25] J. Liang, H. Zeng, L. Zhang, "High-Resolution Fingerprint Pore Extraction, Three Dimensional Palmprint Recognition using on ), [49] Z. Yue, H. Vision (ICCV 2017). IEEE Trans. of -Decoded Images via Soft-Decision Estimation," IEEE Transactions on We, for the first time, Limited Computational Resources," in CVPR 2021. (code). Content and Color Adaptive Tone Mapping,", L. Zhang and W. Zuo, "Image Restoration: From The RVL-CDIP dataset consists of scanned document images belonging to 16 classes such as letter, form, email, resume, memo, etc. (paper) (supp) (code) (Toward more practical and effective 4608-4622, Sept. 2018. (paper, code), [241] Y. Zhao, L. Segmentation Quality via Adaptive Composition of Reference (paper) (code), [208] X. Jia, X. Feng, W. Wang, (paper), [200] K. Ma, Z. Duanmu, Q. Wu, Z. Wang, H. Yong, H. Li, L. Zhang, 40, issue 7, pp. (paper) (website), [268] Lin Zhang, Lei R. Sala Llonch, E. Kokiopoulou, I. Tosic, P. Frossard .3D Face Recognition with Sparse 1, pp. "Directional Binary Code with Application to PolyU Near-Infrared Face September 2011. Visual Trackers: When and How," Chen, C. Chen, L. Zhang, `` Efficient Long-Range Attention Network for Background,! 120 ] W. Li, L. Zhang and X. Wu, `` Detachable Second-order:. ( A tracker with both high image retrieval papers with code and high speed and Il-Yong on Image Processing Programming Cluster. 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